• Have proven expertise in areas of interest, evidenced by an exceptional publication track record and significant technical leadership in high-impact projects 
• Exhibit strong analytical skills, attention to detail, and a commitment to data-driven decision-making 
• Have experience and/or in-depth understandings about large-scale distributed systems 
• Demonstrate an ability to work collaboratively in a fast-paced, innovative environment 

• Develop algorithms, model architectures, data mixtures, and scaling laws for large-scale training using a rigorous data-driven approach grounded in meticulous ablations  
• Drive algorithmic implementations, conduct experiments, and oversee flagship training runs on our in-house large-scale distributed stack  
• Collaborate closely with teams on infrastructure, data, post-training, and multimodality 
• Embody our culture and values. 

• · Bachelor’s Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 
• Proven expertise in the area of pretraining

• Demonstrated experience in large-scale AI. 
• Passionate about conversational AI and its deployment. 
• Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.   
• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.  
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. 

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

This is a full stack engineer role, heavy on coding side/delivering features.

Required Qualifications:

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Proven experience in leading technical teams and making critical architectural decisions.
• Excellent communication skills for collaboration across diverse teams and geographies.
• Demonstrated ability to innovate and stay ahead of industry trends.
• Proven ability to build and maintain cross-functional relationships across teams.
• Solid problem-solving skills, teamwork, and a passion for delivering exceptional user experiences.
• Solid English verbal and written communication skills.
• Familiarity with Agile and iterative development processes.

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 3+ years of game client development experience.
• Proficiency in Web and Mobile (iOS/Android) development.
• Expertise in AI technologies applied in software engineering.

#MicrosoftAI 

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Proven experience in leading technical teams and making critical architectural decisions.
• Excellent communication skills for collaboration across diverse teams and geographies.
• Demonstrated ability to innovate and stay ahead of industry trends.
• Proven ability to build and maintain cross-functional relationships across teams.
• Solid problem-solving skills, teamwork, and a passion for delivering exceptional user experiences.
• Solid English verbal and written communication skills.
• Familiarity with Agile and iterative development processes.

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 3+ years of game client development experience.
• Proficiency in Web and Mobile (iOS/Android) development.
• Expertise in AI technologies applied in software engineering.

#MicrosoftAI 

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

If you are excited by the challenge of designing distributed systems that process petabytes of data for the world’s most advanced AI models, this is your team. We are not looking for someone to just write queries or maintain legacy pipelines. We are looking for Systems Builders—engineers who understand the internals of distributed compute, who treat data infrastructure as a product, and who want to architect the backbone of Microsoft Copilot.

Join us to build the “Paved Road” for AI. You will own the platform that transforms raw, massive-scale signals into the fuel that powers training, inference, and evaluation for millions of users. We need someone who is energized by solving hard problems in stream processing, lakehouse architecture, and developer experience.

As a Member of Technical Staff – Data Platform, you will will be responsible for the following: 

• Core Platform Engineering: Design and build the underlying frameworks (based on Spark/Databricks) that allow internal teams to process massive datasets efficiently, abstracting away the complexity of “ETL” into self-service infrastructure.
• Distributed Systems Architecture: Modernize our data stack by moving from batch-heavy patterns to event-driven architectures, utilizing modern streaming architecture to reduce latency for AI inference.
• Unstructured AI Data Pipelines: Architect high-throughput pipelines capable of processing complex, non-tabular data (documents, code repositories, chat logs) for LLM pre-training, fine-tuning and evaluations datasets.
• AI Feedback Loops: Engineer the high-throughput telemetry systems that capture user interactions with Copilot, creating the critical data loops required for Reinforcement Learning and model evaluation.
• Infrastructure as Code: Treat the data platform as software. Define and deploy all storage, compute, and networking resources using IaC (Bicep/Terraform) rather than manual configuration.
• Data Reliability Engineering: Move beyond simple “validation checks” to build automated governance and observability systems that detect anomalies in the data mesh before they impact downstream models.
• Compute Optimization: Deep-dive into query execution plans and cluster performance. Optimize shuffle operations, partition strategies, and resource allocation to ensure our platform is as cost-efficient as it is fast.

Required Qualifications

• Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience. 

Preferred Qualifications

• Bachelor’s or Master’s Degree in Computer Science, Software Engineering, or related technical field.
• 4+ years of experience in Software Engineering or Data Infrastructure.
• Proficiency in Python, Scala, Java, or Go. You write production-grade application code with unit tests, CI/CD, and modular design.
• Deep Distributed Systems Knowledge: Demonstrated technical understanding of massive-scale compute engines (e.g., Apache Spark, Flink, Ray, Trino, or Snowflake). You should understand internals like query planning, memory management, and distributed consistency.
• Experience architecting Lakehouse environments at scale (using Delta Lake, Iceberg, or Hudi).
• Experience building internal developer platforms or “Data-as-a-Service” APIs.
• Strong background in streaming technologies (Kafka, Azure EventHubs, Pulsar) and stateful stream processing.
• Experience with container orchestration (Kubernetes) for deploying data applications.
• Experience enabling AI/ML workloads (Feature Stores, Vector Databases).

Data Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Data Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

If you are excited by the challenge of designing distributed systems that process petabytes of data for the world’s most advanced AI models, this is your team. We are not looking for someone to just write queries or maintain legacy pipelines. We are looking for Systems Builders—engineers who understand the internals of distributed compute, who treat data infrastructure as a product, and who want to architect the backbone of Microsoft Copilot.

Join us to build the “Paved Road” for AI. You will own the platform that transforms raw, massive-scale signals into the fuel that powers training, inference, and evaluation for millions of users. We need someone who is energized by solving hard problems in stream processing, lakehouse architecture, and developer experience.

As a Member of Technical Staff – Data Platform, you will will be responsible for the following: 

• Core Platform Engineering: Design and build the underlying frameworks (based on Spark/Databricks) that allow internal teams to process massive datasets efficiently, abstracting away the complexity of “ETL” into self-service infrastructure.
• Distributed Systems Architecture: Modernize our data stack by moving from batch-heavy patterns to event-driven architectures, utilizing modern streaming architecture to reduce latency for AI inference.
• Unstructured AI Data Pipelines: Architect high-throughput pipelines capable of processing complex, non-tabular data (documents, code repositories, chat logs) for LLM pre-training, fine-tuning and evaluations datasets.
• AI Feedback Loops: Engineer the high-throughput telemetry systems that capture user interactions with Copilot, creating the critical data loops required for Reinforcement Learning and model evaluation.
• Infrastructure as Code: Treat the data platform as software. Define and deploy all storage, compute, and networking resources using IaC (Bicep/Terraform) rather than manual configuration.
• Data Reliability Engineering: Move beyond simple “validation checks” to build automated governance and observability systems that detect anomalies in the data mesh before they impact downstream models.
• Compute Optimization: Deep-dive into query execution plans and cluster performance. Optimize shuffle operations, partition strategies, and resource allocation to ensure our platform is as cost-efficient as it is fast.

Required Qualifications

• Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience. 

Preferred Qualifications

• Bachelor’s or Master’s Degree in Computer Science, Software Engineering, or related technical field.
• 4+ years of experience in Software Engineering or Data Infrastructure.
• Proficiency in Python, Scala, Java, or Go. You write production-grade application code with unit tests, CI/CD, and modular design.
• Deep Distributed Systems Knowledge: Demonstrated technical understanding of massive-scale compute engines (e.g., Apache Spark, Flink, Ray, Trino, or Snowflake). You should understand internals like query planning, memory management, and distributed consistency.
• Experience architecting Lakehouse environments at scale (using Delta Lake, Iceberg, or Hudi).
• Experience building internal developer platforms or “Data-as-a-Service” APIs.
• Strong background in streaming technologies (Kafka, Azure EventHubs, Pulsar) and stateful stream processing.
• Experience with container orchestration (Kubernetes) for deploying data applications.
• Experience enabling AI/ML workloads (Feature Stores, Vector Databases).

Data Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Data Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft Advertising is at the forefront of the digital advertising industry, providing top advertisers worldwide with the tools to grow their reach through various online marketing, display, video, and retail solutions. We are looking for an Analytical Lead who is driven by data and its potential to influence business strategies and produce tangible results.

As an Analytical Lead, you will generate insights and recommendations that directly benefit our clients, enhancing their business performance and opening up new investment avenues on our Microsoft Advertising platform. Your role involves synthesizing industry knowledge, digital marketing expertise, and advanced analytical methods to craft compelling data stories that sway decision-makers using visualizations and narrative techniques. You should possess solid analytical, problem-solving, and consulting abilities, along with a proactive, challenging mindset and excellent partnership management skills.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.  

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

• Understanding the Business Landscape: Gain a deep understanding of various industries, considering trends, competitive dynamics, and the unique value propositions of clients, with a focus on the cultural and business practices specific to the Japanese market. Look beyond surface-level concerns to identify underlying business challenges and opportunities for Microsoft Advertising.
• Application of Data: Leverages appropriate sources of data, determines optimal statistical methods for integrating data, and identifies and addresses gaps and/or quality issues in data, in partnership with both internal and client teams.
• Data Analysis: Determines appropriate analytical techniques to address business questions, executes analyses and interprets results with actionable recommendations, and partners to build on others’ analyses and forecasting. Critically evaluates the choice of tools, techniques, and assumptions to ensure they are appropriate within context and provides feedback on features and functions.
• Improvement, Efficiency, and Innovation: Stays abreast of data privacy and governance rules and regulations and is aware of where to seek further expertise on such rules and regulations when needed. Determines the impact of updated guidance on work activities and results and ensures work products are delivered in alignment with principles and controls.
• Orchestration and Collaboration: Works within and across internal and client teams to deepen expertise in data sources, methodologies, models, analytical tools and processes, and business and client needs by industry vertical to deliver results. Engages stakeholders to identify and act on opportunities to leverage resources and solutions that were instrumental to success in similar contexts, and consults with client teams on decisions related to analyses and their interpretations.
• Presentation of Results: Develops elements of internal and client-facing presentations that tell stories of analyses, reports, data visualizations, self-service platforms, key performance metrics, and talking points. Evaluates presentations and makes recommendations for improvements as appropriate. Seeks to build trust with clients and ensures presentations are accessible, provide information accurately and clearly, and appropriately speak to the needs of the senior-level stakeholders both internally and externally.
• Understanding Client’s Business: Develops a depth of understanding of clients’ businesses across industry verticals, taking relevant industry trends, clients’ value proposition, and the competitive landscape into consideration to anticipate clients’ business problems and identify business opportunities for Microsoft Advertising. Probes for insight to understand problems beyond stated concerns, begins to connect themes across work activities, and anticipates potential business questions.

Required Qualifications:

• 6+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field
  • OR equivalent experience.
• 6+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.
• Dynamic and creative critical thinking skills, with an ability to think outside of the box.
• Solid ability to communicate complex analyses to a mix of both technical and non-technical partners and clients.
• Experience utilizing analytical tools to turn massive, dynamic datasets into actionable insights.
• Comfort and enjoyment with working in ambiguous environments.
• Solid communication skills to work with partners in various areas of Microsoft Advertising.
• Experience pairing data visualization with storytelling to deliver persuasive presentations that influence varying audience levels.
• Experience conducting, interpreting, and clearly communicating measurement analyses (e.g., incrementality, attribution, lift studies) to inform client decisions.
• Experience and proficiency using PowerBI/Tableau, DAX, SQL for data manipulation and visualization. Working knowledge and familiarity in a combination of the following data manipulation and visualization tools is a plus: Python, R, PowerPivot, Microsoft Advertising API.
• Working knowledge of statistics, predictive modeling and data clustering/classification techniques.
• Infectious sense of enthusiasm, fun, and imagination to contribute to high-performing team culture.
• Comfort working in an agile and constantly-evolving environment while thriving amid ambiguity.
• Ability to travel 25% – 35% (air travel may be required), as appropriate.
• Fluent in Japanese and business-level proficiency in English (English resume required)

Preferred Qualifications:

• 8+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field
  • OR equivalent experience.
• 4+ years in a partner or account management/client service/client-facing role.
• Experience in digital media, data analysis, measurement, and data management.
• Experience in data analysis for launch or early stages of new markets or services.

#MicrosoftAI

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Required Qualifications:

Preferred Qualifications:

Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Required Qualifications:

Preferred Qualifications:

Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.

About the Team

We build the cross-cutting capabilities that shape the future of human-AI interaction. Our work spans modalities—text, voice, vision, action—and pushes the boundaries of what intelligence can do in people’s lives. We partner deeply with design, product, and applied AI to ship extraordinary experiences that define what Copilot becomes. The problems we solve don’t fit neatly into one layer of the stack or one corner of the org—which is exactly what makes them interesting. Our mandate is to make Copilot the essential AI companion: ubiquitous, always capable, always there. We’re building for a future where AI doesn’t just respond—it acts, creates, and orchestrates.

About the Role

You’ll build revolutionary experiences at the intersection of modality and intelligence. The pace is fast. The ambiguity is high. You’ll ship things that millions of people use—and you’ll ship things that don’t exist anywhere else yet.

If you want to work on well-scoped problems with clear answers, this isn’t the team. If you want to define the future of how humans and AI live and work together, come build with us.

• Create breakthrough experiences that redefine what an AI companion can do
• Build across modalities—voice, vision, text, and action—to make Copilot feel seamless and alive
• Own features end-to-end, from concept through production, at scale
• Collaborate with applied AI researchers to bring cutting-edge model capabilities to users
• Ship experiments rapidly, learn from usage, and iterate toward experiences that feel like magic
• Work across team boundaries on problems that span the entire product

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

• Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Strong full-stack fundamentals across frontend (React, TypeScript) and backend systems
• Proficiency in Python or similar languages for backend development
• Experience building scalable web APIs and services
• Comfort with ambiguity and the ability to move fast in loosely-defined problem spaces
• Taste for great product experiences and a drive to ship work that matters

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.